Add boxplot — add_boxplot • tidyplots

Add boxplot

Usage

add_boxplot(
  plot,
  dodge_width = NULL,
  alpha = 0.3,
  saturation = 1,
  show_whiskers = TRUE,
  show_outliers = TRUE,
  box_width = 0.6,
  whiskers_width = 0.8,
  outlier.size = 0.5,
  coef = 1.5,
  outlier.shape = 19,
  outlier.alpha = 1,
  linewidth = 0.25,
  preserve = "total",
  ...
)

Arguments

plot: A tidyplot generated with the function tidyplot().
dodge_width: For adjusting the distance between grouped objects. Defaults to 0.8.
alpha: A number between 0 and 1 for the opacity of an object. A value of 0 is completely transparent, 1 is completely opaque.
saturation: A number between 0 and 1 for the color saturation of an object. A value of 0 is completely desaturated (white), 1 is the original color.
show_whiskers: Whether to show boxplot whiskers. Defaults to TRUE.
show_outliers: Whether to show outliers. Defaults to TRUE.
box_width: Width of the boxplot. Defaults to 0.6.
whiskers_width: Width of the whiskers. Defaults to 0.8.
outlier.size: Size of the outliers. Defaults to 0.5.
coef: Length of the whiskers as multiple of IQR. Defaults to 1.5.
outlier.shape: Shape of the outliers. Defaults to 19.
outlier.alpha: Opacity of the outliers. Defaults to 1.
linewidth: Thickness of the line in points (pt). Typical values range between 0.25 and 1.
preserve: Should dodging preserve the "total" width of all elements at a position, or the width of a "single" element?
...: Arguments passed on to the geom function.

Value

A tidyplot object.

Examples

study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_boxplot()


# Changing arguments:
study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_boxplot(show_whiskers = FALSE)


study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_boxplot(show_outliers = FALSE)


study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_boxplot(box_width = 0.2)


study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_boxplot(whiskers_width = 0.2)